Welcome!
I am a Member of Technical Staff at Cohere, working on RL post-training.
Previously, I was a research engineer at Reality Defender.
Prior to that, I conducted machine learning research in the
Machine Learning for Language (ML²) group at New York University.
At ML², I had the privilege of being advised by
Dr. Cheolhyoung Lee and
Prof. Kyunghyun Cho, and having closely worked with
Dr. Jason Phang and
Prof. Sam Bowman.
Academic Background
M.S. Courant Institute, New York University
- Computer Science
- CeDiD: 23FD-I09H-E3IW
- Computer Science and a minor in Mathematics
- CeDiD: 22LH-QC4F-EFIF
Research
Command A: An Enterprise-Ready Large Language Model
Team Cohere (including Eugene Choi)
Technical report
tl;dr: a technical report detailing the development of Cohere's latest flagship model, Command A.
Eugene Choi, Arash Ahmadian, Matthieu Geist, Oilvier Pietquin, Mohammad Gheshlaghi Azar
ICLR 2025
tl;dr: SRPO is a robust direct alignment method that unlocks inference time self-refinement capability.
Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist
EMNLP 2024
tl;dr: CoPG is a scalable, principled RL algorithm that estimates the optimal policy from off‐policy data.
Eugene Choi, Kyunghyun Cho, Cheolhyoung Lee
ICLR 2023
tl;dr: our proposed method prevents non-terminating sequences resulting from incomplete decoding algorithms.
Teaching
External
African Masters of Machine Intelligence (AMMI)- Deep Learning for NLP: a modern NLP foundations class by Profs Kyunghyun Cho, Duygu Ataman
- May 2022, Teaching Assistant / Lab Instructor (virtual)
At New York University
DS-UA 203: Machine Learning for Language Understanding- A research-oriented class on natural language understanding (NLU) by Prof. Sam Bowman
- Spring 2022, Section Leader / Teaching Assistant (in-person)
Projects
A Survey of Transfer Learning in Uncertainty Aware Computer-Aided Diagnosis
Eugene Choi, Jeff Cui
CSCI-GA 2271-001: Computer Vision (by Prof. Rob Fergus), Dec. 2021
[paper]
[code]
- Brain tumor segmentation demo:
- Kidney tumor segmentation demo:
Website layout credits to Richard Pang. Thanks! :)